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Selfie and Video on Back Camera Dataset
The dataset consists of selfies and video of real people made on a back camera of the smartphone. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
The dataset includes 2 different types of files:
- Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible.
- Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds.
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Content
Phone models in the datset:
- iPhone 13 mini
- iPhone 11
- iPhone XR
- iPhone 8 plus
- Samsung A80
- Samsung galaxy A51 5G
- Samsung A32
- Samsung Galaxy S10 5G
File with the extension .csv
includes the following information for each media file:
- photo: link to access the selfie,
- video: link to access the video,
- phone: the device used to capture selfie and video,
- gender: gender of a person,
- age: age of the person,
- country: country of the person
**TrainingData**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
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keywords: biometric system, biometric dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, object detection dataset, deep learning datasets, computer vision datset, human images dataset, human videos dataset, human faces dataset, machine learning, video-to-image, re-identification, verification models, video dataset, video classification, video recognition, photos and videos
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